OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Computer vision technology in agricultural automation —A review
Hongkun Tian, Tianhai Wang, Yadong Liu, et al.
Information Processing in Agriculture (2019) Vol. 7, Iss. 1, pp. 1-19
Open Access | Times Cited: 507

Showing 26-50 of 507 citing articles:

A Review of Crop Water Stress Assessment Using Remote Sensing
Uzair Ahmad, A. Alvino, Stefano Marino
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4155-4155
Open Access | Times Cited: 89

Identification of Cotton Leaf Lesions Using Deep Learning Techniques
Rafael Faria Caldeira, Wesley Esdras Santiago, Bárbara Teruel
Sensors (2021) Vol. 21, Iss. 9, pp. 3169-3169
Open Access | Times Cited: 82

State of the Art of Urban Smart Vertical Farming Automation System: Advanced Topologies, Issues and Recommendations
Mohamad Hanif Md Saad, Nurul Maisarah Hamdan, Mahidur R. Sarker
Electronics (2021) Vol. 10, Iss. 12, pp. 1422-1422
Open Access | Times Cited: 79

Prediction of grape yields from time-series vegetation indices using satellite remote sensing and a machine-learning approach
Sara Tokhi Arab, Ryozo Noguchi, Shusuke Matsushita, et al.
Remote Sensing Applications Society and Environment (2021) Vol. 22, pp. 100485-100485
Closed Access | Times Cited: 76

Improved Support Vector Machine Enabled Radial Basis Function and Linear Variants for Remote Sensing Image Classification
Abdul Razaque, Mohamed Ben Haj Frej, Muder Almiani, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4431-4431
Open Access | Times Cited: 59

Recent advances in image fusion technology in agriculture
Daoliang Li, Zhaoyang Song, Chaoqun Quan, et al.
Computers and Electronics in Agriculture (2021) Vol. 191, pp. 106491-106491
Closed Access | Times Cited: 58

Deep Neural Networks to Detect Weeds from Crops in Agricultural Environments in Real-Time: A Review
Ildar Rakhmatulin, Andreas Kamilaris, Christian Andreasen
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4486-4486
Open Access | Times Cited: 57

Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges
Moyixi Lei, Longqin Xu, Tonglai Liu, et al.
Foods (2022) Vol. 11, Iss. 15, pp. 2262-2262
Open Access | Times Cited: 53

Smart Strawberry Farming Using Edge Computing and IoT
Mateus R. da Cruz, Samuel Mafra, Eduardo Teixeira, et al.
Sensors (2022) Vol. 22, Iss. 15, pp. 5866-5866
Open Access | Times Cited: 48

Early detection and identification of grape diseases using convolutional neural networks
RajinderKumar M. Math, Nagaraj V. Dharwadkar
Journal of Plant Diseases and Protection (2022) Vol. 129, Iss. 3, pp. 521-532
Closed Access | Times Cited: 47

Rice Seedling Detection in UAV Images Using Transfer Learning and Machine Learning
Hsin-Hung Tseng, Ming‐Der Yang, R. Saminathan, et al.
Remote Sensing (2022) Vol. 14, Iss. 12, pp. 2837-2837
Open Access | Times Cited: 46

Insect counting through deep learning-based density maps estimation
Arantza Bereciartua, Laura Gómez-Zamanillo, Artzai Picón, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 106933-106933
Closed Access | Times Cited: 44

Metaheuristic Optimization for Improving Weed Detection in Wheat Images Captured by Drones
El-Sayed M. El-kenawy, Nima Khodadadi, Seyedali Mirjalili, et al.
Mathematics (2022) Vol. 10, Iss. 23, pp. 4421-4421
Open Access | Times Cited: 41

Data-driven robotic visual grasping detection for unknown objects: A problem-oriented review
Hongkun Tian, Kechen Song, Song Li, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118624-118624
Closed Access | Times Cited: 40

Classification of weed using machine learning techniques: a review—challenges, current and future potential techniques
Ahmed Husham Al-Badri, Nor Azman Ismail, Khamael Al-Dulaimi, et al.
Journal of Plant Diseases and Protection (2022) Vol. 129, Iss. 4, pp. 745-768
Closed Access | Times Cited: 39

Engineering Brain: Metaverse for future engineering
Xiangyu Wang, Jun Wang, Chengke Wu, et al.
AI in Civil Engineering (2022) Vol. 1, Iss. 1
Open Access | Times Cited: 39

Trends and Prospect of Machine Vision Technology for Stresses and Diseases Detection in Precision Agriculture
Jaemyung Shin, Md Sultan Mahmud, Tanzeel U. Rehman, et al.
AgriEngineering (2022) Vol. 5, Iss. 1, pp. 20-39
Open Access | Times Cited: 38

Internet of robotic things for mobile robots: Concepts, technologies, challenges, applications, and future directions
Homayun Kabir, Mau‐Luen Tham, Yoong Choon Chang
Digital Communications and Networks (2023) Vol. 9, Iss. 6, pp. 1265-1290
Open Access | Times Cited: 37

Segmentation of weeds and crops using multispectral imaging and CRF-enhanced U-Net
Halil Mertkan Sahin, Tajul Miftahushudur, Bruce Grieve, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 107956-107956
Open Access | Times Cited: 32

Towards autonomous mapping in agriculture: A review of supportive technologies for ground robotics
Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, et al.
Robotics and Autonomous Systems (2023) Vol. 169, pp. 104514-104514
Open Access | Times Cited: 30

Lettuce Production in Intelligent Greenhouses—3D Imaging and Computer Vision for Plant Spacing Decisions
Άννα Πετροπούλου, Bart M. van Marrewijk, Feije de Zwart, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2929-2929
Open Access | Times Cited: 28

Effects of LED lighting environments on lettuce (Lactuca sativa L.) in PFAL systems – A review
Ildikó Fruzsina Boros, G. Székely, László Balázs, et al.
Scientia Horticulturae (2023) Vol. 321, pp. 112351-112351
Open Access | Times Cited: 25

Ensemble Multifeatured Deep Learning Models and Applications: A Survey
Satheesh Abimannan, El-Sayed M. El-Alfy, Yue‐Shan Chang, et al.
IEEE Access (2023) Vol. 11, pp. 107194-107217
Open Access | Times Cited: 24

Apple Varieties Classification Using Deep Features and Machine Learning
Alper Taner, Mahtem Teweldemedhin Mengstu, K. Selvi, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 252-252
Open Access | Times Cited: 15

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